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I would like to compute the global efficiency for a set of directed matrices. Looking at the appendix of this [this paper](https://www.sciencedirect.com/science/article/pii/S105381190901074X?casa_toke…
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There is currently no documentation explaining the distance and linkage options for clustering...
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Non-Method Features to add:
- [x] Rotation Matrix for PCA and ICA
- [ ] mean and std vectors from PCA, ICA and PCA L1
- [ ] Eigenvalues
- [ ] kernel Matrices for kPCA
- [ ] update documentation f…
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I was using sincastImp to impute a scRNA-seq data with >30,000 cells and 2000 genes. I realised that the imputed sce object became incredibly large (>20G). Initially I thought this was due to the impu…
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I'm currently using vanilla HDBSCAN to cluster a precomputed sparse distance matrix being input as a `scipy.sparse.csr_matrix` object. I'm very eager to use fast_hdbscan due primarily to it's easier c…
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**General**
> (l. 85) 'They can be organized in the following way : catalogs of matrices of measurements for various fields and settings of the antennae pairs distances and orientation. Matrices ar…
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Hi,
I've recently discovered your community and thus I am quite new to geomstats, to manifolds and/or optimal transport in general thus I am not sure whether this is the right place to write but i…
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Would it be possible to output the cgMLST results to a separate CSV/TSV file and/or XLSX worksheet?
You could get really fancy and produce a dendrogram from the cgMLST results, output to newick, o…
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DynAdjust currently permits the scaling of GNSS variance matrices by a variance factor (or the a-posteriori sigma zero calculated from a least squares adjustment). See sections 3.3.3 and 7.3.2.1 in t…
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I was looking through the following paper which outlines how to code Chamfer Distance using Keops.
Fast geometric learning with symbolic matrices
https://www.jeanfeydy.com/Papers/KeOps_NeurIPS_20…